One of the major promises of artificial intelligence (AI) is its role in speeding up drug discovery. AI can process massive ...

2026 is highlighted as the year of the singularity with Elon Musk warning of underestimated impacts; conversations with him ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Manufacturing-aware system design treats dies, interposers, packages, and analysis as a single, coherent system.

CrowdStrike gets a Buy rating as AI-driven, cloud-native network effects fuel retention and growth—plus key risks to watch.

As governments move beyond AI pilots, the real challenge is execution at scale. Responsible governance, integrated platforms ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Abstract: The power system grid around the world is dealing with enormous amount of electrical and nonelectrical data every day. This big data carry large amount of information which need to be ...

A new workshop report titled “Artificial Intelligence with Open and Scaled Data Sharing in Semiconductor Manufacturing” was published by NIST. “The Workshop sponsored by the National Science ...

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Abstract: Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising ...